The present invention discloses a multi-node concurrent transmission
signal superposition diversity method, comprising the following steps: S1, using a
Turbo encoder to generate a Turbo code sequence; S2, applying
phase perturbation to each Turbo code sequence; S3, performing non-orthogonal superposition in an
air channel to form a complex
baseband signal; S4, constructing an equivalent observation model; S5, modeling the transmission symbol matrix as a
sparse matrix to obtain a symbol
estimation matrix; S6, inputting the symbol
estimation matrix into a
Turbo decoder, performing iterative decoding using an improved Max-Log-MAP
algorithm, and outputting a bit
estimation sequence; S7, using a Zadoff-Chu
preamble to complete
initial phase estimation, and outputting an estimated phase sequence through a
Kalman filter; S8, dynamically updating the equivalent observation model based on the estimated phase sequence to complete
parallel computing and scheduling. The present invention integrates Turbo coding, sparse reconstruction, and
phase perturbation modeling to achieve multi-node non-orthogonal concurrent transmission.